Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions

Hong Mei Hu

doi:10.4028/www.scientific.net/AMM.43.329

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 43Rao-Blackwellized Particle Filtering for Mobility...

Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions

Abstract:

Mixed sigh conditions include line-of-sight/non-line-of-sight (LOS/ NLOS) conditions, which have adverse impact on the precision for mobility positioning. A first-order Markov model is employed to describe the dynamic transition of sight conditions, which is hidden in measured data. A Rao-Blackwellized Particle filter (RBPF) is proposed to jointly estimate mobile state and the hidden sight state based on the measurement. Simulation results show the effectiveness of the method.

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Periodical:

Applied Mechanics and Materials (Volume 43)

Pages:

329-332

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.43.329

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Online since:

December 2010

Authors:

Hong Mei Hu

Keywords:

Markov Model, Mobility Positioning, Non Line of Sight (NLOS), Rao-Blackwellized Particle Filtering (RBPF)

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